PhD in Machine Learning and Physics for Energy-Based Networks

Irène Curie Fellowship

No

Department(s)

Electrical Engineering

Reference number

V36.7265

The NanoComputing Research Lab in Integrated Circuits (IC) group within the Department of Electrical Engineering of the Eindhoven University of Technology (TU/e) is conducting high-risk high gain interdisciplinary research at the intersection of machine learning, physics, and computational sciences. We are seeking to hire an excellent and motivated PhD candidate.

Project:

This project aims to conduct cutting-edge research at the intersection of machine learning and physics to advance both theory and algorithms for energy-based networks. We will mainly focus on Oscillatory Neural Networks (ONNs). By leveraging principles from both machine learning and physics, this project seeks to develop novel algorithms and methodologies that can enhance the computational capabilities and performance of oscillatory neural networks. By advancing both theory and algorithms, this project aims to contribute to the broader understanding of neural network models and their potential for transformative applications in computing, signal processing, and learning tasks. We are seeking a highly motivated PhD candidate with a strong background in machine learning, physics, computer science or mathematics to join our research team. The selected candidates will have the opportunity to work on cutting-edge projects focused on developing novel algorithms for energy-based networks, such as oscillatory neural networks.

Candidate:

Are you passionate about exploring the intersection of machine learning and physics to develop novel algorithms for energy-based neural networks? Are you seeking an exciting opportunity to advance knowledge in the field of oscillatory neural networks. If so, we invite you to join our dynamic research team as a PhD candidate in Machine Learning and Physics.

• conducting original research and develop new algorithms and methodologies for energy-based networks based on principles from machine learning and physics.
• exploring the computational properties and optimization techniques of energy-based networks, through theoretical analysis and simulations.
• develop algorithms for training energy-based networks.
• benchmark ONN on various combinatorial optimization problems and compare with state of the art, including quantum annealing.

Qualifications:

• Bachelor’s or master’s degree in physics, Computer Science, Mathematics, Electrical Engineering, or related field.
• Familiarity or background in machine learning, statistical physics, optimization theory, or related areas.
• Proficiency in programming languages such as Python, MATLAB, or C/C++.
• Experience with numerical simulations, mathematical modeling, and data analysis techniques.
• Excellent communication skills and ability to work effectively in a collaborative research environment.

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process .
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact Prof. Aida Todri-Sanial, [email protected], https://www.tue.nl/en/research/research-groups/electronic-systems/nanocomputing-research-lab . 

Visit our website for more information about the application process or the conditions of employment. You can also contact

Are you inspired and would like to know more about working at TU/e? Please visit our career page .

Application

We invite you to submit a complete application by using the apply button.
The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.